Integrated AI translation system combining GPT-4 and neural MT engines, supporting real-time translation across 100+ languages. Features include contextual memory, dynamic terminology management, and multi-format document parsing with 5,000 words/sec processing speed and 98%+ accuracy. Seamless integration with CAT tools like Trados and MemoQ, delivering complete solutions from content parsing to quality assurance. Processes 1 billion characters daily with ISO 27001-certified enterprise security.
Intelligent Translation Workflow Hub
Contextual Analysis Engine
Terminology Management
Quality Assurance
Format Preservation
AI Translation Framework
End-to-end localization process including intelligent file parsing, context-aware translation, real-time QA, and multi-format output. Kubernetes-powered infrastructure handles 1B characters daily with <500ms latency. Continuously optimized through daily training on 1M+ bilingual segments, achieving 0.27% error rate in specialized domains. API integration with enterprise CMS/PIM systems and hybrid deployment options.
How do you handle specialized translations?
Our five-layer specialization process combines BERT-based domain detection (98.7% accuracy) with dynamic terminology injection. Transformer-XL architecture maintains 100k-character context consistency. Three-stage review process ensures compliance with ISO 18587 standards, delivering 300ms response time for specialized content. Custom domain model training available.
How is terminology consistency ensured?
Full lifecycle terminology management with Bi-LSTM extraction (92% accuracy), real-time validation, and version control. System enforces term locking during pre-translation, performs 50-language conflict checks, and post-translation QA scans. Manages 1M+ terms with TB-scale analytics.
What file formats are supported?
Comprehensive format support including Office documents (DOCX/PPTX/XLSX), PDF (OCR-enabled), design files (PSD/AI), CAD drawings, and SRT subtitles. Maintains 99.5% layout fidelity, handles multi-layer files, and preserves EXIF/IPTC metadata. Generates TMX/TBX-compliant memories with regex-based custom parsing.
How is data security maintained?
Zero-persistence architecture with military-grade encryption (TLS 1.3+/AES-256). RBAC controls with field-level permissions. Certified with ISO 27001, GDPR, and HIPAA compliance. Audit system retains logs for 5 years with watermark tracing and 50+ PII auto-redaction.
How does quality improve continuously?
Quadruple optimization: Real-time feedback learning, multi-metric monitoring (BLEU/TER/METEOR), weekly knowledge updates, and anomaly-triggered retraining. Quarterly full-model updates incorporate latest research. Achieved 41% quality improvement over 12 months with 99.93% term consistency.
Technical Architecture
Distributed Kubernetes cluster processing 1B characters daily. Multi-modal NMT system supporting text/image/audio input. Achieves 5,000 words/sec on NVIDIA A100 clusters with 99.95% uptime. Complies with GDPR and China’s Classified Protection 2.0 (Level 3). Scalable to 1,000+ nodes with intelligent load balancing.
Speed and Accuracy Metrics
Average response <500ms, 98%+ accuracy for technical content. Hybrid precision training delivers 99.2% accuracy for documentation, 4.8/5 readability for literary content. Real-time quality dashboards track key metrics.
Continuous Model Optimization
Closed-loop system processes 1M+ daily user corrections. Weekly domain knowledge graph updates. Monthly multilingual joint training enhances low-resource language performance. Client-specific model training environments available.
Scalability Features
Microservices architecture scales to 1,000 nodes handling 5B characters daily. API gateway manages 10,000+ concurrent requests. Achieves 85%+ resource utilization through smart scheduling.